求解大规模系统可靠性问题的修正和声搜索算法  

Modified harmony search algorithm for solving large scale system reliability problem

作　　者：欧阳海滨[1] 高立群[1] 孔祥勇[1] 

机构地区：[1]东北大学信息科学与工程学院,沈阳110004

出　　处：《控制与决策》2015年第9期1567-1574,共8页Control and Decision

基　　金：国家自然科学基金项目(60674021;61403174)

摘　　要：针对大规模系统可靠性问题,提出一种修正和声搜索(MHS)算法.该算法修改了和声搜索(HS)算法的搜索机制,以当前最优解为研究对象,随机选取不同维数进行即兴创作,并修正步长(BW)的调整方式,均衡算法的全局搜索和局部搜索.对经典的大规模系统可靠性问题进行求解,数值结果表明,所提出算法优于其他文献中的6种和声搜索算法.与最近提出的求解此类问题的各种算法进行实验对比,实验结果表明所提出算法在整体上具有良好的优化性能.A modified harmony search（MHS） algorithm is proposed for solving large-scale system reliability problem.This algorithm amends the searching mechanism of HS algorithm,which takes the best-so-far solution as a study subject,randomly selects different dimensions to conduct improvisation,and modifies the adjustment method of parameter bandwidth（BW）to balance global and local searching.The classical large-scale system reliability problem is solved.Numerical results show that the proposed MHS algorithm is better than all the reported 6 kinds of HS algorithms.The MHS algorithm has better optimization performance on the whole compared to some excellent algorithms reported for solving large-scale system reliability problems in the recent year.

关 键 词：系统可靠性 和声搜索算法 探索能力 优化 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]